Robot Vision

Curriculum Robot Vision

During the course you will gain extensive insight in the State of the Art tools used in Robot Vision Applications. Theory combined with hands-on experience enables you to choose the R&D tools best suited for implementing robot vision systems in your own robot applications. And also how you can use vision to support complex robotic tasks.  

The content program includes the following topics:

  • Robot Vision
  • Getting images into the computer
  • Image processing
  • Spatial operators
  • Feature extraction
  • Colour
  • Image formation
  • Image geometry
  • 3D vision, stereo, RGB-D
  • Advanced image processing
  • Vision and motion.

The course structure

The Robot Vision course comprises 10 days in total with one training day a week.

Each course day has a block of theory in the morning (9.00 – 13.00 o’clock) and practical case studies in the afternoon (14.00 – 18.00 o’clock).

The morning part covers the theoretical aspect of robot vision. The afternoon part covers a case study that the students have to execute in small groups. A case study involves the design, implementation and testing of (parts of) a vision system and the processing of algorithms in the context of a mobile and manipulative type of robotic system. The case studies are closely related to examples found in the domains industry, agriculture and healthcare.


The course is coordinated by dr. ir. C.J.M. Heemskerk. He has over 30 years of experience in robotics. He is a full professor at the Inholland University of Applied Science and managing director of Heemskerk innovative Technology.

Drs. G. de Vries is a lecturer at the Inholland University of Applied Science. He has a background in experimental and medical physics and vision for medical imaging.

The course will be completed with various lectures from the active field with an expertise related to the subject of the day.

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